大規模空間データベース上でのベクトル地図簡略化処理の並列化手法

カテゴリ: 部門大会

論文No: OS5-10

グループ名: 【C】平成25年電気学会電子・情報・システム部門大会講演論文集

発行日: 2013/09/04

タイトル(英語): Parallel Processing of Vector Map Simplification on a Large Scale Spatial Database

著者名: 当麻英梨子 (三菱電機),玉田 隆史(三菱電機),坂入 威郎(三菱電機),亀井 克之(三菱電機),小中 裕喜(三菱電機)

著者名(英語): Eriko Toma(Mitsubishi Electric Corporation),Takashi Tamada(Mitsubishi Electric Corporation),Takeo Sakairi(Mitsubishi Electric Corporation),Katsuyuki Kamei(Mitsubishi Electric Corporation),Hiroki Konaka(Mitsubishi Electric Corporation)

キーワード: 空間データベース|ベクトル地図|図形簡略|並列処理|spatial database|vector map|map simplification|parallel processing

要約(日本語): As uses of GIS are widespread, demands for maps of various levels of details are increasing. And their frequent update is also significant because newer maps
are valuable in many fields. This requires more and more efficient map generation. Map simplification is an important part of the map generation and essential to various levels of details. We propose a parallel processing method of map simplification on a large scale spatial database which manages huge volumes of map data. Without data lock management, our method can perform topology preserving simplification in parallel with high scalability. In our experiment, we confirmed the effectiveness of the proposed method.

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